Coordinated control of FCV braking energy recovery considering dynamic load shedding characteristics of PEMFC

doi:10.3969/j.issn.1674-8484.2022.02.016

Abstract

Abstract:

A control strategy of braking energy recovery was investigated for fuel cell vehicle (FCV) with proton exchange membrane fuel cells (PEMFC) based on the dynamic load shedding characteristics of PEMFC to make the FCV recover the braking energy to a greater extent. The dynamic characteristic model of FCV was established, and a coordination-based braking energy recovery control strategy was proposed considering the dynamic load shedding characteristics of PEMFC. The results show that compared with the rule-based control strategy, the SOC of the power battery can be improved by 1.3% under city conditions and 2.0% under high speed conditions with using coordination control strategy. The corresponding maximum impact is reduced by 3.2% and 2.1%, respectively. Therefore, fuel cell vehicles recycle more braking energy while improving braking comfort to a certain extent.

Key words: fuel cell vehicles (FCV), proton exchange membrane fuel cell (PEMFC), braking energy recovery, coordinated control

CLC Number:

U467.1+4

LU Dagang, YI Fengyan, HU Donghai, CHENG Shan. Coordinated control of FCV braking energy recovery considering dynamic load shedding characteristics of PEMFC[J]. Journal of Automotive Safety and Energy, 2022, 13(2): 350-357.

Figures/Tables 7

References 23

[1]	Kim T. Regenerative braking control of a light fuel cell hybrid electric vehicle[J]. Electric Power Components Syst, 2011, 39(5): 446-460. doi: 10.1080/15325008.2010.528535 URL
[2]	ZHANG Junzhi, CHEN Lü, QIU Mingzhe, et al. Braking energy regeneration control of a fuel cell hybrid electric bus[J]. Energy Conve Manag, 2013, 76: 1117-1124.
[3]	YU Shuang, ZHNG Junzhi, WANG Lifang. Power management strategy with regenerative braking for fuel cell hybrid electric vehicle[C]// 2009 Asia-Pacific Power Energy Engi Conf,IEEE, 2009: 1-4.
[4]	Yildiz A, Özel M A. A comparative study of energy consumption and recovery of autonomous fuel-cell hydrogen-electric vehicles using different powertrains based on regenerative braking and electronic stability control system[J]. Appl Sci, 2021, 11(6): 2515-2515. doi: 10.3390/app11062515 URL
[5]	张正辉. 燃料电池电动汽车再生制动系统建模与控制研究[D]. 武汉: 武汉理工大学, 2012.
	ZHANG Zhenghui. Modeling and control of regenerative braking system for fuel cell electric vehicle[D]. Wuhan: Wuhan University of Technology, 2012. (in Chinese)
[6]	周苏, 杨国, 任宏伟, 等. 基于Cruise的燃料电池增程式电动汽车再生制动转矩分配策略研究[J]. 汽车技术, 2015(4): 46-51.
	ZHOU Su, YANG Guo, REN Hongwei, et al. Research on regenerative braking torque allocation strategy of fuel cell extended range electric vehicle based on cruise[J]. Autom Tech, 2015(4): 46-51. (in Chinese)
[7]	杨坤, 董丹秀, 王杰, 等. 多能量源燃料电池电动客车参数匹配及控制策略[J]. 汽车安全与节能学报, 2020, 11(3): 362-370.
	YANG Kun, DONG Danxiu, WANG Jie, et al. Parameter matching and control strategy of multi-energy-source for fuel-cell for electric bus[J]. J Autom Safety Energ, 2020, 11(3): 362-370. (in Chinese)
[8]	Chaturvedi L, Yadav D K, Pancholi G. Regenerative braking energy storing phenomena in fuel cell based electric vehicle[C]// 2017 Recent Devel Control, Automa Power Engi (RDCAPE). IEEE, 2017: 482-486.
[9]	GENG Cong, NING Dawen, GUO Linfu, et al. Simulation research on regenerative braking control strategy of hybrid electric vehicle[J]. Energies, 2021, 14(8): 2202. doi: 10.3390/en14082202 URL
[10]	贺蓉. 基于EBS的混合动力客车再生制动协调控制算法研究[D]. 长春: 吉林大学, 2015.
	HE Rong. Research on regenerative braking coordination control algorithm of hybrid electric bus based on EBS[D]. Changchun: Jilin University, 2015. (in Chinese)
[11]	纪少波, 马荣泽, 赵同军, 等. 质子交换膜燃料电池运行参数影响规律研究[J]. 汽车安全与节能学报, 2021, 12(02): 251-256.
	JI Shaobo, MA Rongze, ZHAO Tongjun, et al. Study on the influence of operation parameters on the performance of proton exchange membrane fuel cell system[J]. J Auto Safety Energ, 2021, 12(02): 251-256. (in Chinese)
[12]	WU Kai. Real-time energy management and transient power control for fuel cell electrified vehicles[D]. State of Michigan: University of Michigan, 2019.
[13]	肖伟, 钟卫东, 舒小农, 等. 基于大数据的电池健康状态(SoH)的估算及应用[J]. 汽车安全与节能学报, 2019, 10(1): 101-105.
	XIAO Wei, ZHONG Weidong, SHU Xiaonong, et al. Estimation and application of battery health status (SoH) based on big data[J]. J Auto Safety Energ, 2019, 10(1): 101-105. (in Chinese)
[14]	HU Donghai, CHENG Shan, ZHOU Jiaming, et al. Energy management optimization method of plug-in hybrid electric bus based on incremental learning[J]. IEEE J Energ Sele Topics Power Elect, 2021. doi: 10.1109/JESTPE.2021.3099810. doi: 10.1109/JESTPE.2021.3099810
[15]	YANG Yang, HE Qiang, CHEN Yongzheng, et al. Efficiency optimization and control strategy of regenerative braking system with dual motor[J]. Energies (Basel), 2020, 13(3): 711-732. doi: 10.3390/en13030711 URL
[16]	Davis K, Hayes J G. Fuel cell vehicle energy management strategy based on the cost of ownership[J]. IET Elec Syst Transp, 2019, 9(4): 226-236.
[17]	Graber G, Galdi V, Calderaro V, et al. POSTER: A power split control algorithm for fuel cell electric vehicles using batteries or supercapacitors as auxiliary storage system[C]// 2017 6th Int’l Conf Clean Electri Power (ICCEP). IEEE, 2017: 625-630.
[18]	WU Jian, WANG Xiangyu, LI Liang, et al. Hierarchical control strategy with battery aging consideration for hybrid electric vehicle regenerative braking control[J]. Energy, 2018, 145(145): 301-312. doi: 10.1016/j.energy.2017.12.138 URL
[19]	CHEN Jian, YU Jiangze, ZHANG Kaixiang, et al. Control of regenerative braking systems for four-wheel-independently-actuated electric vehicles[J]. Mechatronics, 2018, 50 (50): 394-401. doi: 10.1016/j.mechatronics.2017.06.005 URL
[20]	Wua Y, Shub M, Hua G. Research on Brake Force Distribution Control Strategy of Electric Vehicle Subtitle as needed[J]. IOP Conf Seri Mate Sci Engineering, 2018, 452(3): 032054-032063.
[21]	张体环. 混合动力客车制动力协调控制算法研究[D]. 长春: 吉林大学, 2011.
	ZHANG Tihuan. Research on braking force coordination control algorithm of hybrid electric bus[D]. Changchun: Jilin University, 2011. (in Chinese)
[22]	PENG Jiankun, HE Hongwen, XIONG Rui. Rule based energy management strategy for a series-parallel plug-in hybrid electric bus optimized by dynamic programming[J]. Appl Energy, 2016, 185(pt.2): 1633-1643. doi: 10.1016/j.apenergy.2015.12.031 URL
[23]	高帅. 电控气压再生制动系统控制策略的研究[D]. 北京: 北京理工大学, 2015.
	GAO Shuai. Research on control strategy of electronically controlled pneumatic regenerative braking system[D]. Beijing: Beijing Institute of Technology, 2015. (in Chinese)